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A toolkit for reproducible reinforcement learning research.

License: MIT License

Python 89.49% Shell 0.79% Makefile 0.16% Dockerfile 0.22% Jupyter Notebook 9.33%

garage's Introduction

๐Ÿ‘‹ I'm Andrew.

Currently

  • I'm CTO at Trainy (YCombinator Summer 2023) where I help customers spin up infrastructure for managing GPU clusters at scale aimed at generative AI training/serving applications. ๐Ÿค–
  • Our reference architecture that I currently work on is Konduktor, a Kubernetes based platform built using existing open source tools, to make it easier for ML engineers to scale out model training on GPU clusters and give cluster administrators cloud native tools to maintain the health of their GPU clusters. ๐Ÿš…
  • When I do get a free moment, I occassionally make small contributions to Skypilot. In the summer of 2023, this project saved my life and got me GPUs when I needed them. I highly recommend it and the team running it is awesome ๐Ÿ˜Š ๐Ÿ›ฉ๏ธ
  • Prior, I was professionally an ML Engineer at Hive AI where I led the ML engineering side for a logo detection product as well as internal research on stylistic transfer via textual inversion for text2image diffusion models.

In a previous life, I was a physics Ph.D. student ๐Ÿ‘จโ€๐Ÿ”ฌ studying solid-state physics โš›๏ธ under Mike Crommie. You'll probably find a lot of my old research code here. My personal website is here, opinions my own.

garage's People

Contributors

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